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  • 标题:Adaptive Backstepping Control of Ship Speed Tracking and Hybrid Mode Selection ⁎
  • 本地全文:下载
  • 作者:Fan Gao ; Astrid H. Brodtkorb ; Sigrid Marie Mo
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:16
  • 页码:63-69
  • DOI:10.1016/j.ifacol.2021.10.074
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper investigates the application of adaptive backstepping control to a hybrid power system for ship propulsion, using a main diesel engine in conjunction with a battery for auxiliary power supply. Fuel injection delay to the diesel engine is estimated based on Pade approximation, and the pure-feedback term in the ship speed dynamics is approximated by Radial Basis Function (RBF) Neural Network. The closed-loop system is proved to be uniformly ultimately bounded.
  • 关键词:KeywordsSpeed trackingneural network approximationbackstepping designhybrid power systemfuel injection delay
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